Improvement in Control Performance of a Weigh Feeder Using Steady-state Prediction

Abstract

A weigh feeder control system is designed using a PI control law which is based on generalized minimum variance control with the steady-state predictive output. The control performance is assessed using minimum variance index, and the control parameters are adaptively updated such that the control performance is optimized. The effectiveness of the proposed method is demonstrated through experimental results.